Cargando…
Prediction of Mumps Incidence Trend in China Based on Difference Grey Model and Artificial Neural Network Learning
BACKGROUND: We aimed to compare the prediction efficiency of back propagation (BP) network and grey model (GM) (1.1) for mumps infectious diseases and compare the application effect of the two models. METHODS: By calculating the average incidence rate of mumps in January 2014 –2016, we conducted the...
Autores principales: | Jia, Jin, Liu, Mingming, Xue, Zhigang, Wang, Zhe, Pan, Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426770/ https://www.ncbi.nlm.nih.gov/pubmed/34568179 http://dx.doi.org/10.18502/ijph.v50i7.6630 |
Ejemplares similares
-
Effects of meteorological factors on the incidence of mumps and models for prediction, China
por: Zha, Wen-ting, et al.
Publicado: (2020) -
A mumps model with seasonality in China
por: Qu, Qianqian, et al.
Publicado: (2016) -
Application of a Hybrid Method Combining Grey Model and Back Propagation Artificial Neural Networks to Forecast Hepatitis B in China
por: Gan, Ruijing, et al.
Publicado: (2015) -
658. Trends in Mumps Cases and Incidence, United States, January 2016‒April 2018
por: Clemmons, Nakia, et al.
Publicado: (2018) -
Meteorological factors and the incidence of mumps in Fujian Province, China, 2005–2013: Non-linear effects
por: Hu, Wenqi, et al.
Publicado: (2018)